Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add svd-ai-lab/sim-cli --skill hypermeshgit clone --depth 1 https://github.com/svd-ai-lab/sim-cliWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/svd-ai-lab/sim-cli/hypermesh)<a href="https://agentmods.dev/skills/svd-ai-lab/sim-cli/hypermesh"><img src="https://agentmods.dev/badge/skills/svd-ai-lab/sim-cli/hypermesh/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/svd-ai-lab/sim-cli/hypermesh"><img src="https://agentmods.dev/badge/skills/svd-ai-lab/sim-cli/hypermesh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00034 | $0.00488 |
| Opus 5.5 | $0.00014 | $0.00195 |
| Sonnet 5.5 | $0.00007 | $0.00098 |
| Haiku 4.5 | $0.00003 | $0.00049 |
Grade A, and why
hypermesh-sim scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
hypermesh-sim
Use this skill for visible, human-in-the-loop HyperMesh work through sim.
The goal is a shared mesh-preparation loop, not unattended headless execution.
Preferred Loop
- Check availability:
uv run sim check hypermesh
- Connect with a visible desktop session:
uv run sim connect --solver hypermesh --ui-mode gui --workspace .\workspace
uv run sim inspect session.health
- Execute one bounded step at a time:
uv run sim exec --file .\step.py --label mesh-step
uv run sim inspect last.result
uv run sim inspect hypermesh.workspace.files
-
Visually inspect the GUI after meaningful actions: import, cleanup, mesh generation, quality checks, load/property assignment, and export.
-
Save or export checkpoints before moving to the next layer.
Snippet Rules
- Keep each snippet small enough to review from
last.result. - Write a JSON-serializable object to
_resultwhen possible. - Prefer numeric acceptance data: node/element counts, quality criteria, exported file paths, warnings, and failed entity counts.
- Do not rely on process exit alone as engineering acceptance.
- If the human changes the GUI, inspect health/results again before continuing.
Expected Result Shape
Useful snippets set _result, for example:
_result = {
"ok": True,
"stage": "mesh-quality",
"nodes": 1200,
"elements": 950,
"max_aspect": 4.2,
"exported": r"C:\work\case\mesh.fem",
}
The plugin wraps snippets and returns stdout, stderr, _result, elapsed
time, and workspace artifacts through uv run sim inspect last.result.
Hard Stops
- If
session.health.connectedis false, reconnect before making changes. - If a GUI dialog appears, resolve it visibly before continuing.
- If a mesh step produces no counts, no export, and no quality data, treat it as incomplete even if the command returned successfully.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 72 lines · 34 tokens per session scan A 86a4883d9f58
hypermesh-sim is a skill published in the GitHub repository svd-ai-lab/sim-cli (239 stars, last pushed yesterday), licensed Apache-2.0. It adds 34 tokens to every session and 488 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-19.
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